Experimental Characterization and Computational Simulation of Glass-Alumina Functionally Graded Surfaces

Abstract:

Functionally graded materials are a new and attractive class of materials incorporating an engineered spatial variation in composition and/or microstructure: this idea has immediately revealed successful since it allows to reach peculiar mechanical properties such as resistance to wear and contact damage. As a matter of fact, the final behaviour of a Functionally Graded Material is mainly influenced by its graded composition and/or microstructure. Therefore a good fabrication technique should provide a high control and reproducibility of the spatial variation in composition and/or microstructure; on the other hand, a reliable model should take into account the gradient in order to accurately predict the final behaviour of a Functionally Graded Material. The present study is focused on glass-alumina FGMs: the compositional variation, which occurs along only one direction, has been realized through percolation of a molten glass into a bulk polycrystalline alumina. The resulting Functionally Graded Coatings have been carefully characterized through Scanning Electron Microscopy, X-ray diffraction, classical mechanical tests and analysis. Moreover, their behaviour has been modeled by means of a microstructure-based FEM method. A great attention has been paid to the validation of the computational model on the basis of the experimental data. Furthermore, the experimental and the computational approaches have been combined in order to define the correlation between fabrication parameters, such as time and temperature, and resulting gradients in composition and microstructure as well as related performances. Since changes in material properties can be easily evaluated, the resulting model may be useful to simulate the material response to a given thermo-mechanical loading and to tailor the gradient as a function of the specific application.

• Periodical: Materials Science Forum (Volumes 492-493)
• Pages: 647-652
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.492-493.647
• Online since: August 2005
• Authors: Valeria Cannillo, Tiziano Manfredini, M. Montorsi, Cristina Siligardi, A. Sola
• Keywords: Computational Simulation, Fracture, Glass Percolation, Glass-Alumina FGM

References

[1] Y. Miyamoto, W.A. Kaysser, B.H. Rabin, A. Kawasaki, R.G. Ford: Functionally Graded Materials. Design, Processing and Applications (Kluwer Academic Publishers, 1999).

DOI: 10.1007/978-1-4615-5301-4_7

[2] J. Jitcharoen, N.P. Padture, A.E. Giannakopoulos, S. Suresh: Journal of the American Ceramic Society Vol. 81 (9) (1998), p.2301.

[3] C. Leonelli, C. Siligardi: Recent Res. Devel. Mat. Sci. Vol. 3 (2002), p.599.

[4] FN S. p.A. Nuove tecnologie e Servizi Avanzati, Bosco Marengo (AL) ITALY.

[5] V. Cannillo, W.C. Carter, Advances in Fracture Research, Proceedings of ICF10, Editors: K. Ravi-Chandar, B.L. Karihaloo, T. Kishi, R.O. Ritchie, A.T. Yokobori Jr., T. Yokobori (2001).

[6] V. Cannillo, T. Manfredini, M. Montorsi, C. Siligardi, A. Sola, Computational Modeling and Simulation of Materials - Part A, in Advances in Science and Technology, Editors: P. Vincenzini and A. Lami, 42, 679-686, 2004, Techna Group s. r. l.

[7] Y. Kuromitsu, H. Yoshida, H. Takebe, K. Morinaga: Journal of the American Ceramic Society Vol. 80 (6) (1997), p.1583.

[8] J.M.F. Navarro, El Vidrio, C.S.I.C., Madrid (1991) p.362.

[9] M. J. Pascual, L. Pascual, A. Duràn: Physical Chemical Glasses Vol. 42(1) (2001), p.61.

[10] W.C. Carter, S.A. Langer, E.R. Fuller: The OOF manual: version 1. 0, (1998).

[11] S.A. Langer, E.R. Fuller, W.C. Carter: Computing in Science and Engineering, 3 (2001).